Please do this quick practice question. The question will give you feedback to make sure
you've done it correctly, but the real quiz questions will
... [Show More] not.
FEEDBACK
Correctly placed 3 items.
Good work! You have completed this drag and drop problem. Note that: (1) There are two places
you could've put (x=2,y=3); either one would be correct. (2) One location (x+y=2) had nothing
dragged to it. Another location had two answers dragged to it. (3) One choice (x=1,y=7) was not
dragged anywhere, since it wasn't correct for anything.
You have used 6 of 10 attempts.
Reset
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Question 1
9/13 points (graded)
Keyboard Help
x=1, y=7
x=2, y=3 x=1, y=4
x=1, y=611/11/2019 Step 2: Midterm Quiz 1 - GT Students (Launch Proctortrack first before taking the Midterm Quiz 1) | Step 2: Midterm Quiz 1 - GT St…
https://courses.edx.org/courses/course-v1:GTx+ISYE6501x+2T2019b/courseware/a8e7783f3b6d4b21bbf5720bb6f02a92/7d4f7b9ba5e84153afb… 3/24
Drag each model or method to a category of question it is commonly used for. For
models/methods that have more than one correct category, choose any one correct
category; for models/methods that have no correct category listed, do not drag them.
FEEDBACK
Correctly placed 8 items.
Misplaced 1 item.
Submit You have used 1 of 1 attempts.
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CUSUM Principal component
analysis
Support vector machine
k-means
ARIMA CART Exponential smoothing
k-nearest-neighbor Linear regression
Logistic regression Random forest
Cross validation
GARCH11/11/2019 Step 2: Midterm Quiz 1 - GT Students (Launch Proctortrack first before taking the Midterm Quiz 1) | Step 2: Midterm Quiz 1 - GT St…
https://courses.edx.org/courses/course-v1:GTx+ISYE6501x+2T2019b/courseware/a8e7783f3b6d4b21bbf5720bb6f02a92/7d4f7b9ba5e84153afb… 4/24
Question 2
2.19/3.0 points (graded)
Select all of the following models that are designed for use with time series data:
You have used 1 of 1 attempt
Did not place 3 required items.
Good work! You have completed this drag and drop problem.
Final attempt was used, highest score is 9.0
k-nearest-neighbor
Principal component analysis
ARIMA
k-means
CUSUM
Logistic regression
GARCH
Exponential smoothing
Random forest
Linear regression
Support vector machine
Submit11/11/2019 Step 2: Midterm Quiz 1 - GT Students (Launch Proctortrack first before taking the Midterm Quiz 1) | Step 2: Midterm Quiz 1 - GT St…
https://courses.edx.org/courses/course-v1:GTx+ISYE6501x+2T2019b/courseware/a8e7783f3b6d4b21bbf5720bb6f02a92/7d4f7b9ba5e84153afb… 5/24
Answers are displayed within the problem
Information for Questions 3a, 3b, 3c
Figures A and B show the training data for a soft classiÕcation problem,
using two predictors (x and x ) to separate between black and white
points. The dashed lines are the classiÕers found using SVM. Figure A
uses a linear kernel, and Figure B uses a nonlinear kernel that required
Õtting 16 parameter values.
Figure A Figure B
Question 3a
2.4/3.0 points (graded)
3a. Select all of the following statements that are true.
1 2
Figure A's classiÕer is based only on the value of x2 .
Figure A has fewer classiÕcation errors in the training data.
Figure A's classiÕer has a wider margin in the training data. [Show Less]